Results 11 to 20 of about 396 (141)

Machine-learning prediction of affinity and epistasis in the bovine pancreatic trypsin inhibitor-chymotrypsin complex. [PDF]

open access: yesProtein Sci
Abstract Protein–protein interactions (PPIs) are shaped by evolutionary pressures that fine‐tune binding affinities and drive the epistatic relationships that support functional outcomes. Here, we used the complex of bovine pancreatic trypsin inhibitor (BPTI) and chymotrypsin as a model system to study how mutations at one or two positions affect ...
Tzuri N, Kass I, Orenstein Y, Papo N.
europepmc   +2 more sources

The Application of Transformers with High-Temperature Superconducting Windings Considering the Skin Effect in Mobile Power Supply Systems

open access: yesMathematics
The active and passive components of transformer electrical equipment have reached their limits regarding modernization and optimization, leading to the implementation of innovative approaches.
Vadim Manusov   +4 more
doaj   +1 more source

Analysis of the Properties of HTS 2G SCS and SF Windings During Failure States of Superconducting Transformers

open access: yesEnergies
The article presents a PSpice software-based numerical model of a superconducting transformer with HTS 2G SCS and SF windings for the analysis of electrical circuits, developed using PSpice version 24.1 (Cadence, 2024),which allows for the determination ...
Paweł Surdacki, Łukasz Woźniak
doaj   +1 more source

Excited‐State Antiaromaticity in Nonbenzenoid Aromatics: Examining the Dynamics of Intramolecular Proton Transfer With a Small Driving Force

open access: yesAngewandte Chemie, EarlyView.
The excited‐state antiaromaticity of hydroxybenzotropyliums (HBTs) can be tuned through substituent effects to bring the aromatic ‘enol’ (E) and keto (K) tautomers close in energy. This leads to abnormally slow excited‐state proton transfer (on the ns timescale), giving rise to dual fluorescence emission and weak photoacidity.
Promeet K. Saha   +6 more
wiley   +2 more sources

AI-driven de novo design of BRAF inhibitors with enhanced binding affinity and optimized drug-likeness [PDF]

open access: yesPeerJ
Background Traditional drug discovery methods, such as high-throughput screening (HTS), are often inefficient and costly, especially in complex areas like oncology.
Zuokun Lu, Aili Zhang
doaj   +2 more sources

Influence of Scan Strategies in Electron Beam Powder Bed Fusion on Solidification, Microstructure, and High‐Temperature Compressive Properties of γ′‐Strengthened Inconel 738LC

open access: yesAdvanced Engineering Materials, EarlyView.
Experiments and thermophysical simulations were conducted to investigate the electron beam powder bed fusion electron beam (PBF‐EB/M) process for the γ′‐strengthened nickel‐based superalloy Inconel 738LC. The results demonstrate the impact of process‐induced microstructural variations on high‐temperature mechanical behavior, providing a basis for ...
Jan Niklas Petenati   +11 more
wiley   +1 more source

Role of Liquid Composition in the Transient Liquid Assisted Growth of Superconducting YBa2Cu3O7‐δ Films

open access: yesAdvanced Materials, EarlyView.
The Y supersaturation in the [Ba‐Cu(I/II)‐O] transient liquid composition is the driving force toward YBCO nucleation and growth in TLAG. Tuning the initial (Ba:Cu) molar ratio in the ink composition determines the YBCO epitaxial nucleation through supersaturation control.
Lavinia Saltarelli   +12 more
wiley   +1 more source

Internal Energy Balancing Control of a Modular Multilevel Converter as Part of a Hybrid Transformer

open access: yesIEEE Open Journal of Power Electronics
Hybrid transformers (HTs) can provide voltage and current compensation in the utility grid. HTs include a line-frequency transformer and a converter rated for partial transformer power.
Rui Wang   +3 more
doaj   +1 more source

Development of a Voltage Compensation Type Active SFCL and Its Application for Transient Performance Enhancement of a PMSG-Based Wind Turbine System

open access: yesAdvances in Condensed Matter Physics, 2017
Considering the rapid development of high temperature superconducting (HTS) materials, superconducting power applications have attracted more and more attention in the power industry, particularly for electrical systems including renewable energy.
Lei Chen   +3 more
doaj   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu   +8 more
wiley   +1 more source

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