Results 91 to 100 of about 19,010 (265)

A Unified Hierarchical Multiscale Fusion Framework for Drug–Target Affinity Prediction: From Benchmark Performance to Nanomolar Inhibitor Discovery

Advanced Science, EarlyView.
A multimodal fusion framework integrating sequence, atomic, and fragment representations captures drug–target interactions across multiple scales. The model delivers strong predictive performance and enables efficient virtual screening. Applied to hematopoietic progenitor kinase 1 (HPK1), it identifies structurally diverse inhibitors with nanomolar ...
Shuo Liu, Xiang Zhang, Haixia Feng, Yuquan Li, Xiaoqing Gong, Yong Liang, Xiaojun Yao, Huanxiang Liu   +7 more
wiley   +1 more source

Updatable Closed‐Form Evaluation of Arbitrarily Complex Multiport Network Connections

Advanced Electronic Materials, EarlyView.
The inverse design of electrically large wave devices often uses reduced‐order multiport models with discrete optimization, requiring many evaluations of complex interconnections between subsystems that differ only in a few blocks. This paper introduces a closed‐form framework enabling efficient Woodbury low‐rank updates of related, previous ...
Hugo Prod'homme, Philipp del Hougne
wiley   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

How to Derive the Schrodinger Equation

, 2006
12 pages, 1 ...
Ward, David W., Volkmer, Sabine M.
openaire   +2 more sources

Structure and Spectroscopic Characterisation of Phenanthroline‐Based Iodobismuthate(III) Complexes Utilised for Raw Acoustic Signal Classification

Advanced Intelligent Discovery, EarlyView.
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz, Gisya Abdi, Andrzej Sławek, Marlena Gryl, Konrad Szaciłowski   +4 more
wiley   +1 more source

Existence, regularity and positivity of ground states for nonlocal nonlinear Schrodinger equations

Electronic Journal of Differential Equations, 2019
We study ground states of a nonlinear Schr\"odinger equation driven by the infinitesimal generator of a rotationally invariant Levy process. The equation includes many special cases such as classical Schrodinger equations, fractional Schrodinger ...
Yong-Chao Zhang
doaj  

Schrodinger equation for classical particles

, 2009
15 ...
Kozlowski, M, Marciak-Kozlowska, J, Pelc, M   +2 more
openaire   +2 more sources

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

Advanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath, Shauryaraj K. Jilkar, Aditya Udgaonkar, Yu (Joe) Lu, Ali Mesbah   +4 more
wiley   +1 more source

1,2‐propanediol reformulation improves tribromoethanol safety and reveals pontine GABRA1 enrichment as a candidate mechanistic correlate of anesthesia

Animal Models and Experimental Medicine, EarlyView.
This study develops a reformulated tribromoethanol (TBE) anesthetic using 1,2‐propanediol as a solvent to overcome solvent‐related toxicity. The novel formulation demonstrates, cardiovascular stability, and survival in prolonged protocols. It provides potent, dose‐dependent anesthesia without strain or sex differences.
Xia Li, Yanming Chen, Xinyi Xiao, Guoheng Xu   +3 more
wiley   +1 more source

Spectroscopic and In Silico Determination of the Structural and Antioxidant Properties of Essential Oils From Lavandula Species Cultivated in the Silivri Region of Istanbul

Journal of the American Oil Chemists' Society, EarlyView.
ABSTRACT Plants are important sources of bioactive compounds that contribute to nutrition, health maintenance, and disease prevention. In this study, the chemical composition and antioxidant potential of essential oils obtained from Lavandula angustifolia “Sevtopolis” and Lavandula × intermedia cultivated in the Silivri region of Istanbul were ...
Bilge Bicak, Beray Kizilkaya, Serda Kecel Gunduz, Aliye Demet Demirag, Sabriye Percin Ozkorucuklu   +4 more
wiley   +1 more source