Results 141 to 150 of about 2,343,705 (241)
A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows +7 more
wiley +1 more source
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez +4 more
wiley +1 more source
The behaviors of semiflexible polymers such as DNA and protein are often reshaped by coupled interactions. Monte Carlo simulations assist in studying these systems. This work recasts the traditional chain‐growth strategy into a new framework: a fixed number of chains grow synchronously, while less relevant chains to the target system are removed and ...
Yihan Zhao, Jizeng Wang
wiley +1 more source
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo +3 more
wiley +1 more source
Switching ATP‐Forming Phosphoryl‐Transfer Chemistry With a Restricted Set of Amino Acids
Constraints on amino acid composition relevant to prebiotic chemistry reshape enzyme chemistry by replacing the canonical mechanism within a conserved protein fold with a distinct ATP‐forming reaction, ADP disproportionation. Such constraints generate alternative catalytic solutions not observed in modern enzymes and point to chemically plausible early
Sota Yagi +3 more
wiley +2 more sources
Conservation : relaxed laws imperil Australian wildlife
Conservation : relaxed laws imperil Australian ...
Euan Ritchie (13069209)
core
Predicting Performance of Hall Effect Ion Source Using Machine Learning
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park +8 more
wiley +1 more source
Redshifting TADF Emission With a Bora‐Triptycene Lewis Acid
Bathochromic emission shifting of donor–acceptor and multi‐resonant TADF emitters is achieved by adduct formation with a thia‐bora‐triptycene Lewis acid. TADF properties are retained on adduct formation whilst delivering > 100 nm redshift of the emission.
Mathew J. Cross +4 more
wiley +2 more sources
Tourism, Poaching and Wildlife Conservation: What can Integrated Conservation and Development Projects accomplish? [PDF]
Integrated Conservation and Development Projects (ICDPs) have frequently been established in Africa to improve wildlife conservation and the welfare of local communities.
Anders Skonhoft, Anne Borge Johannesen
core
Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison +4 more
wiley +1 more source

