Nanomaterials: Computation, Theory, Machine Learning and Experiment

Kirill Velizhanin — kirill@lanl.gov

Svetlana Kilina — svetlana.kilina@ndsu.edu

Dmitri Kilin — dmitri.kilin@ndsu.edu

Nanomaterials, encompassing inorganic and organic semiconductors, insulators, and metals, are at the forefront of scientific exploration due to their exceptional electronic, mechanical, and thermodynamic properties. These materials underpin a vast array of applications, spanning from advanced light-emitting diodes and efficient photoenergy conversion to room-temperature magnetism and biomedical tools like optical probes and drug delivery systems.

At a fundamental level, nanomaterials play pivotal roles in both natural and engineered systems, necessitating a deep quantitative understanding of their properties. Unlike traditional materials, nanomaterials exhibit electronic structures that defy straightforward classification into conventional continuum (as in periodic systems) or discrete quantum levels (as in molecules). Moreover, fast and reliable characterization of nanomaterial surface, dynamics and chemical reactivity still present formidable challenges for experiment prompting computational studies at scale.

To address these complexities, this biannual workshop aims to unite theoreticians and experimentalists in a timely exploration of modern advancements, applications, and challenges in nanomaterial research. By integrating theoretical frameworks with cutting- edge experimental methodologies, augmented by machine learning and cheminformatics, we aspire to unravel the intricate structure-property relationships of nanomaterials. This interdisciplinary approach promises to inspire new collaborations, novel synthesis strategies and accelerate the development of nanomaterials tailored for specific functionalities.

We wish to ensure an intimate workshop setting, with no more than 20 to 25 participants. If you are interested in attending but have not received an invitation, please contact the workshop organizer before registering.

Sessions typically run mornings and late afternoons, leaving mid-day free for informal collaboration.

Travel to Telluride can be expensive; please assess your own potential travel costs before registering.

Please book your travel plans! The Montrose Regional Airport (MTJ) is the most reliable and convenient airport for Telluride.

Telluride Science can provide lodging starting as low as $215/night during off-peak weeks and as low as $250/night during peak-season at the Mountainside Inn. These affordable lodging options are limited and available first-come, first-serve. To encourage participants to secure affordable lodging, we offer a $100 discount on lodging provided through Telluride Science that is secured before the Early Bird deadline. Additionally, we work with many lodging providers in Telluride and Mountain Village to offer discounts between 10-15% off your total lodging balance. Additional information provided with registration.

If you have more questions about lodging, reach out to Sara at sara@telluridescience.org.

Registrations may be refunded less a $25 cancellation fee. If cancelled before the lodging cancellation deadline, lodging payments are refundable less a $100 cancellation fee. It is each participant's responsibility to confirm and understand their own lodging cancellation deadline. Travel insurance is highly recommended.