Computational and experimental force multipliers for the discovery of new thermoelectric and photovoltaic materials

Add to your list(s) Download to your calendar using vCal

• Prof Eric Toberer: Physics Dept., Colorado School of Mines
• Tuesday 25 September 2018, 16:00-17:00
• Mott Seminar Room (531), Cavendish Laboratory, Department of Physics.

If you have a question about this talk, please contact Romy Hall.

This talk will highlight both the successes and the stumbling blocks along the way to bring material science into the 21st century. Namely, the combination of (i) high throughput experiment, (ii) massive computational resources, (iii) machine learning, and (iv) high energy beamlines is more than summative when conducted in concert. Given finite human resources (ie graduate students), these tools serve as force multipliers to enhance their capabilities. Over the last decade, we have applied these techniques in thermoelectric and photovoltaic materials. This high through-put search of known and hypothetical compounds has led to the discovery of new classes of materials for these two applications. Through the interplay of materials physics and machine learning, general principles for designing the next generation materials have emerged. The talk will conclude with discussion of the prospects for sequential learning coupled with parallelization and automation to accelerate functional materials discovery.

This talk is part of the Quantum Matter Seminar series.

This talk is included in these lists:

• All Cavendish Laboratory Seminars
• All Talks (aka the CURE list)
• Centre for Health Leadership and Enterprise
• Featured lists
• ME Seminar
• Mott Seminar Room (531), Cavendish Laboratory, Department of Physics
• Neurons, Fake News, DNA and your iPhone: The Mathematics of Information
• Quantum Matter Seminar
• School of Physical Sciences
• Thin Film Magnetic Talks

Note that ex-directory lists are not shown.