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ORCIDNature Computational Science, Volume 1
Volume 1, Number 1, 2021
- Celebrating today, inspiring tomorrow. 1
- Amanda Casari
, Katie McLaughlin, Milo Z. Trujillo, Jean-Gabriel Young, James P. Bagrow, Laurent Hébert-Dufresne:
Open source ecosystems need equitable credit across contributions. 2 - Matthew K. Horton, Shyam Dwaraknath, Kristin A. Persson:
Promises and perils of computational materials databases. 3-5 - Rosalind M. Eggo, Jeanette Dawa, Adam J. Kucharski, Zulma M. Cucunubá:
The importance of local context in COVID-19 models. 6-8 - Moritz U. G. Kraemer, Samuel V. Scarpino, Vukosi Marivate, Bernardo Gutierrez, Bo Xu, Graham Lee, Jared B. Hawkins, Caitlin M. Rivers, David M. Pigott, Rebecca Katz, John S. Brownstein:
Data curation during a pandemic and lessons learned from COVID-19. 9-10 - Fernando Chirigati, Ananya Rastogi:
Connecting Black women in computational biology. 11-13 - Fernando Chirigati:
Computationally designing synthesizable molecules. 14 - Jie Pan:
Characterizing true quantum computing power. 15 - Ananya Rastogi:
Parameter inference for systems biology models. 16 - Jie Pan:
Modeling higher-order lattice anharmonicity. 17 - Gábor Balázsi:
Discovering evolutionary hidden treasures. 18-19 - Fanjie Meng, Hoi Sung Chung:
Kinetics of amyloid β from deep learning. 20-21 - Hanna Najgebauer, Umberto Perron, Francesco Iorio:
Redefining false discoveries in cancer data analyses. 22-23 - Tony Liu, Lyle H. Ungar, Konrad P. Kording:
Quantifying causality in data science with quasi-experiments. 24-32 - Gihanna Galindez, Julian O. Matschinske, Tim D. Rose, Sepideh Sadegh, Marisol Salgado-Albarrán, Julian Späth, Jan Baumbach, Josch Konstantin Pauling:
Lessons from the COVID-19 pandemic for advancing computational drug repurposing strategies. 33-41 - Umberto Raucci, Alessio Valentini, Elisa Pieri, Hayley Weir, Stefan Seritan, Todd J. Martínez:
Voice-controlled quantum chemistry. 42-45 - Chi Chen, Yunxing Zuo, Weike Ye, Xiangguo Li, Shyue Ping Ong:
Learning properties of ordered and disordered materials from multi-fidelity data. 46-53 - Rahul Singh, Aayush Sharma, Prashant Singh, Ganesh Balasubramanian, Duane D. Johnson:
Accelerating computational modeling and design of high-entropy alloys. 54-61 - Hiroyuki Kuwahara, Xin Gao:
Stable maintenance of hidden switches as a strategy to increase the gene expression stability. 62-70 - Thomas Löhr, Kai Kohlhoff, Gabriella T. Heller, Carlo Camilloni, Michele Vendruscolo:
A kinetic ensemble of the Alzheimer's Aβ peptide. 71-78 - Le Yang, Runpu Chen, Steve Goodison, Yijun Sun:
An efficient and effective method to identify significantly perturbed subnetworks in cancer. 79-88
Volume 1, Number 2, 2021
- Hail, software! 89
- Annarita Giani:
Quantum computing opportunities in renewable energy. 90-91 - Lois Curfman McInnes, Michael A. Heroux, Erik W. Draeger, Andrew R. Siegel, Susan Coghlan, Katie Antypas:
How community software ecosystems can unlock the potential of exascale computing. 92-94 - Jie Pan:
Scaling up system size in materials simulation. 95 - Fernando Chirigati:
Predicting protein structure from cryo-EM data. 96 - Ananya Rastogi:
Inspecting treatment benefit in clinical drug trials. 97 - Kathy Leung, Joseph T. Wu:
Quantifying the uncertainty of CovidSim. 98-99 - Stephane Bugeon:
Towards a consistent neuron classification. 100-101 - Florian Klimm:
Functional change along cellular trajectories. 102-103 - Peter Bauer, Peter D. Düben, Torsten Hoefler, Tiago Quintino, Thomas C. Schulthess, Nils P. Wedi:
The digital revolution of Earth-system science. 104-113 - Aleksey K. Fedorov, Mikhail S. Gelfand:
Towards practical applications in quantum computational biology. 114-119 - Rohan Gala, Agata Budzillo, Fahimeh Baftizadeh, Jeremy A. Miller, Nathan W. Gouwens, Anton Arkhipov, Gabe Murphy, Bosiljka Tasic, Hongkui Zeng, Michael Hawrylycz, Uygar Sümbül:
Consistent cross-modal identification of cortical neurons with coupled autoencoders. 120-127 - Wouter Edeling, Hamid Arabnejad, Robert Sinclair, Diana Suleimenova, Krishnakumar Gopalakrishnan, Bartosz Bosak, Derek Groen, Imran Mahmood, Daan Crommelin, Peter V. Coveney:
The impact of uncertainty on predictions of the CovidSim epidemiological code. 128-135 - James C. Knight, Thomas Nowotny:
Larger GPU-accelerated brain simulations with procedural connectivity. 136-142 - Brian B. Avants, Nicholas J. Tustison, James R. Stone:
Similarity-driven multi-view embeddings from high-dimensional biomedical data. 143-152 - Alexander G. B. Grønning, Mhaned Oubounyt, Kristiyan Kanev, Jesper Lund, Tim Kacprowski, Dietmar Zehn, Richard Röttger, Jan Baumbach:
Enabling single-cell trajectory network enrichment. 153-163
Volume 1, Number 3, 2021
- Shining a light on the peer review process. 165
- Karen E. Willcox, Omar Ghattas, Patrick Heimbach:
The imperative of physics-based modeling and inverse theory in computational science. 166-168 - Rebecca Knowles, Bilal A. Mateen, Yo Yehudi:
We need to talk about the lack of investment in digital research infrastructure. 169-171 - Fernando Chirigati:
Porting software without affecting scientific results. 172 - Ananya Rastogi:
Interpretable predictions of cellular behavior. 173 - Jie Pan:
Simulating thermal physics on quantum computers. 174 - Fida K. Dankar:
Data privacy through participant empowerment. 175-176 - Shulei Wang, Ming Yuan:
Revisiting colocalization via optimal transport. 177-178 - Sokseiha Muy, Nicola Marzari:
On the design of solid-state Li-ion batteries. 179-180 - Shiqiang Wang:
Efficient deep learning. 181-182 - Michael Scherer, Florian Schmidt, Olga Lazareva, Jörn Walter, Jan Baumbach, Marcel H. Schulz, Markus List:
Machine learning for deciphering cell heterogeneity and gene regulation. 183-191 - Dennis Grishin, Jean Louis Raisaro, Juan Ramón Troncoso-Pastoriza, Kamal Obbad, Kevin Quinn, Mickaël Misbach, Jared Gollhardt, João Sá Sousa, Jacques Fellay, George M. Church, Jean-Pierre Hubaux:
Citizen-centered, auditable and privacy-preserving population genomics. 192-198 - Carla Tameling, Stefan Stoldt, Till Stephan, Julia Naas, Stefan Jakobs, Axel Munk:
Colocalization for super-resolution microscopy via optimal transport. 199-211 - Michael W. Swift, James W. Swift, Yue Qi:
Modeling the electrical double layer at solid-state electrochemical interfaces. 212-220 - Bin Li, Peijun Chen, Hongfu Liu, Weisi Guo, Xianbin Cao, Junzhao Du, Chenglin Zhao, Jun Zhang:
Random sketch learning for deep neural networks in edge computing. 221-228 - Xian Yeow Lee, Joshua R. Waite, Chih-Hsuan Yang, Balaji Sesha Sarath Pokuri, Ameya Joshi, Aditya Balu, Chinmay Hegde, Baskar Ganapathysubramanian, Soumik Sarkar:
Fast inverse design of microstructures via generative invariance networks. 229-238 - Brian B. Avants, Nicholas J. Tustison, James R. Stone:
Publisher Correction: Similarity-driven multi-view embeddings from high-dimensional biomedical data. 239
Volume 1, Number 4, 2021
- To review or not to review. 241
- Kala M. Mehta, Niquo Ceberio, Sonthonax Vernard, Yazmin P. Carrasco, Kirsten Bibbins-Domingo, Tung T. Nguyen, Peter Lê, Jasmón Bailey, Audrey Parangan-Smith, Kelechi Uwaezuoke, Robert C. Rivers, Kenjus Watson, Leticia Márquez-Magaña:
Designing a biomedical coding program focused on inclusivity and agency. 242-243 - Jie Pan:
Can machines learn with hard constraints? 244 - Ananya Rastogi:
Comparing single-cell datasets. 245 - Jie Pan:
Computationally probing exciton dynamics. 246 - Dvir Aran:
Extracting insights from heterogeneous tissues. 247-248 - Denise Syndercombe Court:
Protecting against racial bias in DNA databasing. 249-250 - Jennifer E. Adair, Mark R. Enstrom:
A key toolbox for cellular barcoding analysis. 251-252 - Chong Jin, Mengjie Chen, Dan-Yu Lin, Wei Sun:
Cell-type-aware analysis of RNA-seq data. 253-261 - Marta Pelizzola, Merle Behr, Housen Li, Axel Munk, Andreas Futschik:
Multiple haplotype reconstruction from allele frequency data. 262-271 - Jacob A. Blindenbach, Karthik Anand Jagadeesh, Gill Bejerano, David J. Wu:
Avoiding genetic racial profiling in criminal DNA profile databases. 272-279 - Diego A. Espinoza, Ryland D. Mortlock, Samson J. Koelle, Chuanfeng Wu, Cynthia E. Dunbar:
Interrogation of clonal tracking data using barcodetrackR. 280-289 - Phillip M. Maffettone, Lars Banko, Peng Cui, Yury Lysogorskiy, Marc A. Little, Daniel Olds, Alfred Ludwig, Andrew I. Cooper:
Crystallography companion agent for high-throughput materials discovery. 290-297
Volume 1, Number 5, 2021
- Theorists and experimentalists must join forces. 299
- Kazunori Akiyama, Andrew A. Chael, Dominic W. Pesce:
New views of black holes from computational imaging. 300-303 - Fernando Chirigati:
Inverse problem via a Bayesian approach. 304 - Ananya Rastogi:
Insights on protein condensate formation. 305 - Jie Pan:
Large-scale transport simulation by deep learning. 306 - Omer San:
The digital twin revolution. 307-308 - Jiao Zhao, Hao Xu, Laurence Yang:
A dynamic metabolic map for diabetes. 309-310 - Wenhao Sun, Michael F. Toney:
AI tool makes phase identification crystal clear. 311-312 - Steven A. Niederer, Michael S. Sacks, Mark Girolami, Karen Willcox:
Scaling digital twins from the artisanal to the industrial. 313-320 - Tamar Schlick, Stephanie Portillo-Ledesma:
Biomolecular modeling thrives in the age of technology. 321-331 - Robert Vaser, Mile Sikic:
Time- and memory-efficient genome assembly with Raven. 332-336 - Michael G. Kapteyn, Jacob V. R. Pretorius, Karen E. Willcox:
A probabilistic graphical model foundation for enabling predictive digital twins at scale. 337-347 - Marouen Ben Guebila, Ines Thiele:
Dynamic flux balance analysis of whole-body metabolism for type 1 diabetes. 348-361 - Xingcheng Lin, Jason T. George, Nicholas P. Schafer, Kevin Ng Chau, Michael E. Birnbaum, Cecilia Clementi, José N. Onuchic, Herbert Levine:
Rapid assessment of T-cell receptor specificity of the immune repertoire. 362-373 - Shaoheng Liang, Vakul Mohanty, Jinzhuang Dou, Qi Miao, Yuefan Huang, Muharrem Müftüoglu, Li Ding, Weiyi Peng, Ken Chen:
Single-cell manifold-preserving feature selection for detecting rare cell populations. 374-384
Volume 1, Number 6, 2021
- Networking in times of pandemic. 385
- Fernando Chirigati:
Accurate and efficient fluid flow analysis. 386 - Ananya Rastogi:
Data generation for training biomedical models. 387 - Jie Pan:
Mathematically exploring wrinkle evolution. 388 - Patrick J. Coles:
Seeking quantum advantage for neural networks. 389-390 - Mikel Hernaez:
Towards scalable genomic data access. 391-392 - Eric R. Gamazon:
Detecting context-dependent gene regulation. 393-394 - Sonia Tarazona, Angeles Arzalluz-Luque, Ana Conesa:
Undisclosed, unmet and neglected challenges in multi-omics studies. 395-402 - Amira Abbas, David Sutter, Christa Zoufal, Aurélien Lucchi, Alessio Figalli, Stefan Woerner:
The power of quantum neural networks. 403-409 - Carla Lupo, François Jamet, Wai Hei Terence Tse, Ivan Rungger, Cedric Weber:
Maximally localized dynamical quantum embedding for solving many-body correlated systems. 410-420 - Elena Vigorito, Wei-Yu Lin, Colin Starr, Paul D. W. Kirk, Simon R. White, Chris Wallace:
Detection of quantitative trait loci from RNA-seq data with or without genotypes using BaseQTL. 421-432 - Yuanfang Guan, Hongyang Li, Daiyao Yi, Dongdong Zhang, Changchang Yin, Keyu Li, Ping Zhang:
A survival model generalized to regression learning algorithms. 433-440 - Hao Hou, Brent S. Pedersen, Aaron R. Quinlan:
Balancing efficient analysis and storage of quantitative genomics data with the D4 format and d4tools. 441-447 - Shaoheng Liang, Vakul Mohanty, Jinzhuang Dou, Qi Miao, Yuefan Huang, Muharrem Müftüoglu, Li Ding, Weiyi Peng, Ken Chen:
Publisher Correction: Single-cell manifold-preserving feature selection for detecting rare cell populations. 448
Volume 1, Number 7, 2021
- But is the code (re)usable? 449
- Geoffrey Lovelace:
Computational challenges in numerical relativity in the gravitational-wave era. 450-452 - Jie Pan:
Improving chemical accuracy with neural networks. 453 - Fernando Chirigati:
Detection of war destruction from satellite images. 454 - Ananya Rastogi:
COVID-19 prognosis from a longitudinal dataset. 455 - Osama Abdin, Philip M. Kim:
Rapid protein model refinement by deep learning. 456-457 - Houlong Zhuang:
From evidence to new high-entropy alloys. 458-459 - Jun Ding:
A versatile model for single-cell data analysis. 460-461 - Xiaoyang Jing, Jinbo Xu:
Fast and effective protein model refinement using deep graph neural networks. 462-469 - Minh-Quyet Ha, Duong-Nguyen Nguyen, Viet Cuong Nguyen, Takahiro Nagata, Toyohiro Chikyow, Hiori Kino, Takashi Miyake, Thierry Denoeux, Van-Nam Huynh, Hieu-Chi Dam:
Evidence-based recommender system for high-entropy alloys. 470-478 - Qiyuan Zhao, Brett M. Savoie:
Simultaneously improving reaction coverage and computational cost in automated reaction prediction tasks. 479-490 - Hantao Shu, Jingtian Zhou, Qiuyu Lian, Han Li, Dan Zhao, Jianyang Zeng, Jianzhu Ma:
Modeling gene regulatory networks using neural network architectures. 491-501 - Carla Lupo, François Jamet, Wai Hei Terence Tse, Ivan Rungger, Cedric Weber:
Publisher Correction: Maximally localized dynamical quantum embedding for solving many-body correlated systems. 502
Volume 1, Number 8, 2021
- Fostering multidisciplinary collaborations. 503
- Fernando Chirigati:
Fluid dynamic behavior of deep-sea sponges. 504 - Ananya Rastogi:
A pandemic's trajectory using PCR testing. 505 - Jie Pan:
Simulating synthesis of 3D network polymers. 506 - Rachel Waymack, Zeba Wunderlich:
Embryonic development across space and time. 507-508 - Zhiyong Li:
Predicting bone regeneration from machine learning. 509-510 - Luca Massimino, Luigi Antonio Lamparelli, Yashar Houshyar, Silvia D'alessio, Laurent Peyrin-Biroulet, Stefania Vetrano, Silvio Danese, Federica Ungaro:
The Inflammatory Bowel Disease Transcriptome and Metatranscriptome Meta-Analysis (IBD TaMMA) framework. 511-515 - Sayantan Dutta, Aleena L. Patel, Shannon E. Keenan, Stanislav Y. Shvartsman:
From complex datasets to predictive models of embryonic development. 516-520 - Josh C. D'aeth, Shubhechyya Ghosal, Fiona Grimm, David J. Haw, Esma Koca, Krystal Lau, Stefano Moret, Dheeya Rizmie, Sarah R. Deeny, Pablo N. Perez-Guzman, Neil M. Ferguson, Katharina D. Hauck, Peter C. Smith, Giovanni Forchini, Wolfram Wiesemann, Marisa Miraldo:
Optimal national prioritization policies for hospital care during the SARS-CoV-2 pandemic. 521-531 - Chi Wu, Ali Entezari, Keke Zheng, Jianguang Fang, Hala Zreiqat, Grant P. Steven, Michael V. Swain, Qing Li:
A machine learning-based multiscale model to predict bone formation in scaffolds. 532-541 - Ugur Tegin, Mustafa Yildirim, Ilker Oguz, Christophe Moser, Demetri Psaltis:
Scalable optical learning operator. 542-549 - Muhammad Haseeb, Fahad Saeed:
High performance computing framework for tera-scale database search of mass spectrometry data. 550-561
Volume 1, Number 9, 2021
- Meet the editors. 563
- Jie Pan:
Deep learning boosts RNA prediction. 564 - Jie Pan:
Reducing qubit budget in quantum machine learning. 565 - Ananya Rastogi:
Shining a light on mutational signatures. 566 - Nishant Kishore:
Mobility data as a proxy for epidemic measures. 567-568 - Ariel Rokem:
Detect-ing brain anomalies with autoencoders. 569-570 - Dezsö Módos, John P. Thomas, Tamás Korcsmáros:
A handy meta-analysis tool for IBD research. 571-572 - Sudip Sharma, Sudhir Kumar:
Fast and accurate bootstrap confidence limits on genome-scale phylogenies using little bootstraps. 573-577 - Cupjin Huang, Fang Zhang, Michael Newman, Xiaotong Ni, Dawei Ding, Junjie Cai, Xun Gao, Tenghui Wang, Feng Wu, Gengyan Zhang, Hsiang-Sheng Ku, Zhengxiong Tian, Junyin Wu, Haihong Xu, Huanjun Yu, Bo Yuan, Mario Szegedy, Yaoyun Shi, Hui-Hai Zhao, Chunqing Deng, Jianxin Chen:
Efficient parallelization of tensor network contraction for simulating quantum computation. 578-587 - Roman Levin, Dennis L. Chao, Edward A. Wenger, Joshua L. Proctor:
Insights into population behavior during the COVID-19 pandemic from cell phone mobility data and manifold learning. 588-597 - Maxime Chamberland, Sila Genc, Chantal M. W. Tax, Dmitri Shastin, Kristin Koller, Erika P. Raven, Adam Cunningham, Joanne Doherty, Marianne B. M. van den Bree, Greg D. Parker, Khalid Hamandi, William P. Gray, Derek K. Jones:
Detecting microstructural deviations in individuals with deep diffusion MRI tractometry. 598-606 - Paul J. Blazek, Milo M. Lin:
Explainable neural networks that simulate reasoning. 607-618 - Aamir Faisal Ansari, Yugandhar B. S. Reddy, Janhavi Raut, Narendra M. Dixit:
An efficient and scalable top-down method for predicting structures of microbial communities. 619-628
Volume 1, Number 10, 2021
- Moving towards reproducible machine learning. 629-630
- Fabio J. Cortes Rodriguez, Matteo Dal Peraro, Luciano A. Abriata:
Democratizing interactive, immersive experiences for science education with WebXR. 631-632 - Fernando Chirigati:
Eva to the rescue. 633 - Kaitlin McCardle:
Computationally guided zeolite phase control. 634 - Jie Pan:
Physics-educated DL refines phase mapping. 635 - Ananya Rastogi:
High-performance modeling toolkit. 636 - Kaitlin McCardle:
Predicting reactivity with a push from theory. 637 - Jordi Tura:
Boosting simulation of quantum computers. 638-639 - Boyang Ji, Markus J. Herrgård, Jens Nielsen:
Microbial community dynamics revisited. 640-641 - Laura Alessandretti:
A new computational model for human navigation. 642-643 - Evert P. L. van Nieuwenburg:
To V or not to V. 644-645 - Yuan Ping, Tyler J. Smart:
Computational design of quantum defects in two-dimensional materials. 646-654 - Alejandro Fontal, Menno J. Bouma, Adrià San José, Leonardo López, Mercedes Pascual, Xavier Rodó:
Climatic signatures in the different COVID-19 pandemic waves across both hemispheres. 655-665 - Xiang Zhang, Marissa Sumathipala, Marinka Zitnik:
Population-scale identification of differential adverse events before and during a pandemic. 666-677 - Christian Bongiorno, Yulun Zhou, Marta Kryven, David Theurel, Alessandro Rizzo, Paolo Santi, Josh Tenenbaum, Carlo Ratti:
Vector-based pedestrian navigation in cities. 678-685 - Junqi Yin, Zongrui Pei, Michael C. Gao:
Neural network-based order parameter for phase transitions and its applications in high-entropy alloys. 686-693 - Gordon Lemmon, Sergiusz Wesolowski, Alex Henrie, Martin Tristani-Firouzi, Mark Yandell:
A Poisson binomial-based statistical testing framework for comorbidity discovery across electronic health record datasets. 694-702 - Luca Massimino, Luigi Antonio Lamparelli, Yashar Houshyar, Silvia D'alessio, Laurent Peyrin-Biroulet, Stefania Vetrano, Silvio Danese, Federica Ungaro:
Author Correction: The Inflammatory Bowel Disease Transcriptome and Metatranscriptome Meta-Analysis (IBD TaMMA) framework. 703
Volume 1, Number 11, 2021
- For the greatest benefit to humankind. 705-706
- Kaitlin McCardle:
Modeling historical impacts of fisheries on biomass. 707 - Jie Pan:
Coupling mechanics into membrane electrochemistry. 708 - Fernando Chirigati:
Accurate short-term precipitation prediction. 709 - Ananya Rastogi:
Accuracy and fairness go hand in hand. 710 - Dorit M. Hammerling, Allison H. Baker:
Advancing data compression via noise detection. 711-712 - Milan Klöwer, Miha Razinger, Juan J. Dominguez, Peter D. Düben, Tim N. Palmer:
Compressing atmospheric data into its real information content. 713-724 - Liang Zeng, Taizheng Wu, Ting Ye, Tangming Mo, Rui Qiao, Guang Feng:
Modeling galvanostatic charge-discharge of nanoporous supercapacitors. 725-731 - Jerelle A. Joseph, Aleks Reinhardt, Anne Aguirre, Pin Yu Chew, Kieran O. Russell, Jorge R. Espinosa, Adiran Garaizar, Rosana Collepardo-Guevara:
Physics-driven coarse-grained model for biomolecular phase separation with near-quantitative accuracy. 732-743 - Ehsan Kharazmi, Min Cai, Xiaoning Zheng, Zhen Zhang, Guang Lin, George Em Karniadakis:
Identifiability and predictability of integer- and fractional-order epidemiological models using physics-informed neural networks. 744-753 - Phillip J. Brown, J. Edward F. Green, Benjamin J. Binder, James M. Osborne:
A rigid body framework for multicellular modeling. 754-766 - Tamar Schlick, Stephanie Portillo-Ledesma:
Publisher Correction: Biomolecular modeling thrives in the age of technology. 767
Volume 1, Number 12, 2021
- Fighting COVID-19 with HPC. 769-770
- Neda Mohammadi, John E. Taylor:
Thinking fast and slow in disaster decision-making with Smart City Digital Twins. 771-773 - Fernando Chirigati:
Learning to read. 774 - Ananya Rastogi:
Evolution through the lens of genetic codes. 775 - Jie Pan:
Analyzing noise for quantum advantage. 776 - Kaitlin McCardle:
Pushing the bounds of multiconfigurational methods. 777 - Pu Wang:
Bridging human mobility and urban growth. 778-779 - Jianwei Sun:
Application of wavefunction methods to metals. 780-781 - Ad Aertsen:
Insights into hippocampal network function. 782-783 - Hani Jieun Kim, Kevin Y. X. Wang, Carissa Chen, Yingxin Lin, Patrick P. L. Tam, David M. Lin, Jean Y. H. Yang, Pengyi Yang:
Uncovering cell identity through differential stability with Cepo. 784-790 - Fengli Xu, Yong Li, Depeng Jin, Jianhua Lu, Chaoming Song:
Emergence of urban growth patterns from human mobility behavior. 791-800 - Tina N. Mihm, Tobias Schäfer, Sai Kumar Ramadugu, Laura Weiler, Andreas Grüneis, James J. Shepherd:
A shortcut to the thermodynamic limit for quantum many-body calculations of metals. 801-808 - Yuchi Qiu, Jian Hu, Guo-Wei Wei:
Cluster learning-assisted directed evolution. 809-818 - Teeratorn Kadeethum, Daniel O'Malley, Jan Niklas Fuhg, Youngsoo Choi, Jonghyun Lee, Hari S. Viswanathan, Nikolaos Bouklas:
A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks. 819-829 - Segundo Jose Guzman, Alois Schlögl, Claudia Espinoza, Xiaomin Zhang, Benjamin A. Suter, Peter Jonas:
How connectivity rules and synaptic properties shape the efficacy of pattern separation in the entorhinal cortex-dentate gyrus-CA3 network. 830-842
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