Results 61 to 70 of about 134 (132)

Current Challenges of Transcription Compartmentalization Research

Advanced Science, EarlyView.
Transcription factors, coactivators, and RNA polymerase II assemble into transcription compartments ranging from small, defined complexes to liquid‐like condensates. This review unifies these seemingly competing descriptions along a single continuum and asks what these compartments have been shown to do, and what they have not, revealing that the most ...
Thomas Quail, Sina Wittmann
wiley   +1 more source

Substrate Engineering of SWCNT p–n Junctions for Dual‐Mode Power Generation and Heat‐Flux Sensing

Advanced Science, EarlyView.
Through substrate engineering alone, a single‐walled carbon nanotube p–n junction device switches between two functions under uniform infrared irradiation. A low‐absorbance substrate sustains a central hot junction for continuous power generation, whereas high‐absorbance substrates transiently invert the temperature gradient for sensitive heat‐flux ...
Ryota Tamai, Hiroto Nakayama, Shuya Ochiai, Masayuki Takashiri   +3 more
wiley   +1 more source

Latent Diffusion Process With Mechanistic Guidance For Designing Functionally Graded Metamaterials With Perfect Connectivity

Advanced Science, EarlyView.
A latent diffusion‐based framework is proposed for designing functionally graded metamaterials with perfect connectivity. By integrating vector‐quantized latent representations with mechanistic guidance, the framework enables accurate inverse design toward target elastic properties.
Jongbin Yu, Dosung Lee, Namjung Kim
wiley   +1 more source

Conformal Reconfigurable Intelligent Surfaces: A Cylindrical Geometry Perspective

Advanced Electronic Materials, EarlyView.
Cylindrical reconfigurable intelligent surfaces are explored for low‐complexity beam steering using one‐bit meta‐atoms. A multi‐level modeling approach, including optimization‐based synthesis, demonstrates that even minimal hardware can support directive scattering.
Filippo Pepe, Ivan Iudice, Giuseppe Castaldi, Marco Di Renzo, Vincenzo Galdi   +4 more
wiley   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
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

Electrochemically Triggered Supramolecular Polymerization Under Kinetic Control

Angewandte Chemie, EarlyView.
Chemical and electrochemical stimuli enable controlled supramolecular polymerization of perylene diimide–histidine (PDI–His). Redox processes mediate the transformation of kinetically trapped aggregates into thermodynamically stable nanofibers, thereby supporting seeded growth. This approach provides a strategy for regulating self‐assembly pathways and
Eun Gyu Lee, Jeongse Yun, Hyoung Wook Kang, Daeun Jung, Seung‐Ryong Kwon, Jong Hwa Jung, Sung Ho Jung   +6 more
wiley   +2 more sources

Automated generative process synthesis via transformer‐based dual‐loop simulation and optimization

AIChE Journal, EarlyView.
Abstract This study presents a novel framework for automated generative process synthesis, addressing the complexity of simultaneously optimizing discrete topologies and continuous operating variables. To overcome conventional superstructure limitations, we propose a dual‐loop architecture integrating generative transformers with rigorous process ...
Yeong Woo Son, Chan Kim, Ji Hun Pak, Hain Lee, Jong Min Lee   +4 more
wiley   +1 more source

Azole γ‐Peptides Helix Switching via Heterocycle Substitutions

Angewandte Chemie, EarlyView.
Heterocycle substitution in azole‐based γ‐amino acids enables control over the helical shape of heterocyclic γ‐peptides. S↔N permutation in thiazole residues switches a canonical 9‐helix into a flexible helix exhibiting discontinuous hydrogen bonding.
Samantha Chaise, Claude Didierjean, Audrey Gacogne, Maxime Fillaudeau, Young Kee Kang, Aurélien Lebrun, Jean‐Louis Bantignies, Dominique Housset, Muriel Amblard, Ludovic T. Maillard, Baptiste Legrand   +10 more
wiley   +2 more sources

Interpretability and Representability of Commutative Algebra, Algebraic Topology, and Topological Spectral Theory for Real‐World Data

Advanced Intelligent Discovery, EarlyView.
This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley   +1 more source