Results 141 to 150 of about 388,640 (259)

Are graph databases ready for bioinformatics? [PDF]

Bioinformatics, 2013
Have CT, Jensen LJ.
europepmc   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Creating an Interactive Web Interface for Networks Stored in Knowledge Graph Databases. [PDF]

Curr Protoc
Evangelista JE, Lutsky AD, Byrd AI, Clarke DJB, Prabhakaran A, Jenkins SL, Ma'ayan A.   +6 more
europepmc   +1 more source

STON: exploring biological pathways using the SBGN standard and graph databases. [PDF]

BMC Bioinformatics, 2016
Touré V, Mazein A, Waltemath D, Balaur I, Saqi M, Henkel R, Pellet J, Auffray C.   +7 more
europepmc   +1 more source

Science‐Towards‐Technology Breakthrough in CO2 Electroreduction: Multiphysics, Multiscale, and Artificial Intelligence Insights

Advanced Materials, EarlyView.
Electrochemical CO2RR is a key technology for converting CO2 into chemicals, but there remains a gap between “laboratory science” and “engineering practice” in current research. This review establishes a multi‐scale research framework, encompassing atomic‐level characterization, microenvironment regulation, external field‐assisted optimization, and AI ...
Ping Hong, Changfan Xu, Huaping Zhao, Yong Lei   +3 more
wiley   +1 more source

Graph databases in systems biology: a systematic review. [PDF]

Brief Bioinform
Mazein I, Rougny A, Mazein A, Henkel R, Gütebier L, Michaelis L, Ostaszewski M, Schneider R, Satagopam V, Jensen LJ, Waltemath D, Wodke JAH, Balaur I.   +12 more
europepmc   +1 more source

GeNNet: an integrated platform for unifying scientific workflows and graph databases for transcriptome data analysis. [PDF]

PeerJ, 2017
Costa RL, Gadelha L, Ribeiro-Alves M, Porto F.   +3 more
europepmc   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Generative Models for Crystalline Materials

Advanced Materials, EarlyView.
Generative machine learning models are increasingly used in crystalline materials design. This review outlines major generative approaches and assesses their strengths and limitations. It also examines how generative models can be adapted to practical applications, discusses key experimental considerations for evaluating generated structures, and ...
Houssam Metni, Laura Ruple, Lauren N. Walters, Luca Torresi, Jonas Teufel, Henrik Schopmans, Jona Östreicher, Yumeng Zhang, Marlen Neubert, Yuri Koide, Kevin Steiner, Paul Link, Lukas Bär, Mariana Petrova, Gerbrand Ceder, Pascal Friederich   +15 more
wiley   +1 more source

Enhancing fraud detection in banking by integration of graph databases with machine learning. [PDF]

MethodsX
Patil A, Mahajan S, Menpara J, Wagle S, Pareek P, Kotecha K.   +5 more
europepmc   +1 more source