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‘The persistence of national identity in the international art market’. Review of: Art Crossing Borders: The Internationalisation of the Art Market in the Age of Nation States, 1750-1914, edited by Jan Dirk Baetens and Dries Lyna, Amsterdam: Brill, 2019 [PDF]
With their edited volume of essays dedicated to case studies of the art market during the long nineteenth century, Jan Dirk Baetens and Dries Lyna bring together research into specific cases that provide examples of the increasing internationalization of
Elizabeth A. Pergam
doaj
Autonomous AI‐Driven Design for Skin Product Formulations
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang +5 more
wiley +1 more source
When Biology Meets Medicine: A Perspective on Foundation Models
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary +1 more
wiley +1 more source
Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics
A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha +2 more
wiley +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Symposium | Mapping The Art Market
INVITATION Digital mapping, present in everyday life in the form of navigation devices, is increasingly finding its way into art history research. As part of the symposium Mapping the Art Market, organized by the department for Art Market Studies at the ...
Claudia Friedrich
core +1 more source
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
Pt@Cu/CuO heterostructures were designed for electrochemical N─N coupling of 3,5‐diamino‐1H‐1,2,4‐triazole. Mechanism investigation revealed that the Pt sites mediated co‐adsorption of substrates and hydroxyl on Cu/CuO sites. The elaborate Pt@Cu/CuO achieved an ultralow working potential of 0.832 VRHE with a high FE of 95%. A long‐term stability of 600
Jiachen Li +11 more
wiley +2 more sources
Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica +38 more
wiley +1 more source

